Nium
Website:
nium.com
Job details:
Nium is the global infrastructure company powering real-time cross-border payments. Founded to deliver the payments infrastructure of tomorrow, today, we are building a programmable, borderless, and compliant money-movement layer that powers transactions between people, businesses, and intelligent systems — enabling banks, fintechs, payroll providers, travel platforms, marketplaces, and other global enterprises to move money instantly, anywhere in the world.
Co-headquartered in San Francisco and Singapore, with offices in 14 markets and team members across 20+ countries, we take pride in a culture anchored in Keeping It Simple, Making It Better, and Winning Together. 2025 was the strongest year in our 10-year history, with record revenue, record transaction volumes, and EBITDA profitability — and we are now entering one of the most dynamic chapters in our journey. We believe the best work happens face-to-face, and we operate a hybrid model with three in-office days per week to strengthen collaboration, alignment, and innovation.
We move over $50B annually across a network that spans 190+ countries, 100 currencies, and 100 real-time corridors. We power fast payouts to accounts, wallets, and cards; enable local collections in 35 markets; and support card issuance in 34 countries — all backed by licenses across 40+ markets.
With over $300M raised to date, Nium offers ambitious builders the opportunity to shape the future of global money movement — at scale.
Role Summary:
Responsible for leading the development of AI/ML models to identify risks (such as fraud or credit risk) while ensuring these models are auditable, explainable, and compliant with data privacy laws
Enhance the coverage and accuracy of the existing rules for anti-money laundering and financial crimes
Manage, mentor, and develop a team of data scientist/analysts supporting compliance domains such as AML, sanctions, fraud, KYC, conduct, and regulatory reporting.
Key Responsibilities
Define the vision for Data Science in risk and compliance, ensuring alignment with business goals, risk appetite, and regulatory requirements
Lead the end-to-end development of ML models (e.g., AML detection, KYC/KYB, fraud scoring, model validation) while ensuring compliance with auditability and fairness standards
Develop, measure, and monitor data risk frameworks, including data quality, integrity, and security
Requirements
Master's degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field
Strong understanding of ETL (Extract, Transform, Load) processes, data modelling concepts and data warehousing
Proficient in AI/ML algorithms, statistical modeling, data mining, and languages like Python, R, and SQL
Build and manage high-performing teams, fostering a culture of innovation, data science excellence, and compliance awareness
What we offer at Nium
We Value Performance: Through competitive salaries, performance bonuses, sales commissions, equity for specific roles and recognition programs, we ensure that all our employees are well rewarded and incentivized for their hard work.
We Care for Our Employees: The wellness of Nium’ers is our #1 priority. We offer medical coverage along with 24/7 employee assistance program, generous vacation programs including our year-end shut down. We also provide a flexible working hybrid working environment (3 days per week in the office).
We Upskill Ourselves: We are curious, and always want to learn more with a focus on upskilling ourselves. We provide role-specific training, internal workshops, and a learning stipend.
We Celebrate Together: We recognize that work is also about creating great relationships with each other. We celebrate together with company-wide social events, team bonding activities, happy hours, team offsites, and much more!
We Thrive with Diversity: Nium is truly a global company, with more than 33 nationalities, based in 18+ countries and more than 10 office locations. As an equal opportunity employer, we are committed to providing a safe and welcoming environment for everyone.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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